๐ Early estimation of the case fatality rate of COVID-19 in mainland China: a data-driven analysis.
Background: An ongoing outbreak of pneumonia caused by a novel coronavirus [severe acute respiratory syndrome coronavirus (SARS-CoV)-2], named COVID-19, hit a major city of China, Wuhan in December 2019 and subsequently spread to other provinces/regions of China and overseas. Several studies have been done to estimate the basic reproduction number in the early phase of this outbreak, yet there are no reliable estimates of case fatality rate (CFR) for COVID-19 to date. Methods: In this study, we used a purely data-driven statistical method to estimate the CFR in the early phase of the COVID-19 outbreak. Daily numbers of laboratory-confirmed COVID-19 cases and deaths were collected from January 10 to February 3, 2020 and divided into three clusters: Wuhan city, other cities of Hubei province, and other provinces of mainland China. Simple linear regression model was applied to estimate the CFR from each cluster. Results: We estimated that CFR during the first weeks of the epidemic ranges from 0.15% (95% CI: 0.12-0.18%) in mainland China excluding Hubei through 1.41% (95% CI: 1.38-1.45%) in Hubei province excluding the city of Wuhan to 5.25% (95% CI: 4.98-5.51%) in Wuhan. Conclusions: Our early estimates suggest that the CFR of COVID-19 is lower than the previous coronavirus epidemics caused by SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV).
keywords
๐ 2019 novel coronavirus (185)
๐ COVID-19 (1240)
๐ case fatality rate (CFR) (4)
๐ severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) (156)
๐ severe acute (1373)
๐ syndrome coronavirus (1074)
๐ fatality rate (123)
๐ basic reproduction (30)
๐ novel coronavirus (684)
๐ respiratory syndrome (2004)
๐ acute respiratory (1734)
๐ reproduction number (45)
author
๐ค Yang, Shu
๐ค Cao, Peihua
๐ค Du, Peipei
๐ค Wu, Ziting
๐ค Zhuang, Zian
๐ค Yang, Lin
๐ค Yu, Xuan
๐ค Zhou, Qi
๐ค Feng, Xixi
๐ค Wang, Xiaohui
๐ค Li, Weiguo
๐ค Liu, Enmei
๐ค Chen, Ju
๐ค Chen, Yaolong
๐ค He, Daihai
year
โฐ 2020
journal
๐ Ann Transl Med
issn
๐
volume
number
page
citedbycount
0
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